College of Nursing Science, Kyung Hee University, 26 Kyunghee-Daero, Dongdaemun-Gu, Seoul, 02447, Republic of Korea.
College of Nursing Science, Dongnam Health University, 50, Cheoncheon-Ro 74Beon-Gil, Jangan-Gu, Suwon-Si, Gyeonggi-Do, 16323, Republic of Korea.
BMC Med Educ. 2022 Dec 1;22(1):830. doi: 10.1186/s12909-022-03898-3.
Education and training are needed for nursing students using artificial intelligence-based educational programs. However, few studies have assessed the effect of using chatbots in nursing education.
This study aimed to develop and examine the effect of an artificial intelligence chatbot educational program for promoting nursing skills related to electronic fetal monitoring in nursing college students during non-face-to-face classes during the COVID-19 pandemic.
This quasi-experimental study used a nonequivalent control group non-synchronized pretest-posttest design.
The participants were 61 junior students from a nursing college located in G province of South Korea. Data were collected between November 3 and 16, 2021, and analyzed using independent t-tests.
The experimental group-in which the artificial intelligence chatbot program was applied-did not show statistically significant differences in knowledge (t = -0.58, p = .567), clinical reasoning competency (t = 0.75, p = .455), confidence (t = 1.13, p = .264), and feedback satisfaction (t = 1.72, p = .090), compared with the control group; however, its participants' interest in education (t = 2.38, p = .020) and self-directed learning (t = 2.72, p = .006) were significantly higher than those in the control group.
The findings of our study highlighted the potential of artificial intelligence chatbot programs as an educational assistance tool to promote nursing college students' interest in education and self-directed learning. Moreover, such programs can be effective in enhancing nursing students' skills in non-face-to face-situations caused by the ongoing COVID-19 pandemic.
护理学生使用基于人工智能的教育程序需要接受教育和培训。然而，很少有研究评估在护理教育中使用聊天机器人的效果。
本研究旨在开发和检验一种人工智能聊天机器人教育程序，以促进在 COVID-19 大流行期间非面对面课堂上护理大学生电子胎心监护相关护理技能。
这是一项使用非等同对照组非同步前后测设计的准实验研究。
参与者为来自韩国南部 G 省一所护理学院的 61 名大三学生。数据于 2021 年 11 月 3 日至 16 日收集，采用独立 t 检验进行分析。
实验组（应用人工智能聊天机器人程序）在知识（t=-0.58，p=0.567）、临床推理能力（t=0.75，p=0.455）、信心（t=1.13，p=0.264）和反馈满意度（t=1.72，p=0.090）方面与对照组相比无统计学差异；然而，实验组的教育兴趣（t=2.38，p=0.020）和自我导向学习（t=2.72，p=0.006）显著高于对照组。
本研究结果强调了人工智能聊天机器人程序作为一种教育辅助工具的潜力，可以提高护理大学生的教育兴趣和自我导向学习能力。此外，在当前 COVID-19 大流行导致的非面对面情况下，此类程序可以有效地提高护理学生的技能。
